Wealth Management Risk - Associate/AVP

Morgan Stanley•Harrison, NY

2d•$58,000 - $115,000

About The Position

Assist in documentation and certification of vendor models. Work with vendors and business to understand the model's methodology. Design and execute testing plans in collaboration with vendors, business partners, and the Model Risk Management team. Analyze test results, identify potential issues and communicate findings to stakeholders Develop ongoing monitoring plan perform ongoing monitoring for certified models. Support testing, evaluation and documentation of vendor service GenAI use cases Address questions and remediate issues identified during model certification and GenAI use case review Conduct risk assessment on GenAI use cases to ensure compliance with firm policies and regulatory expectations Provide guidance to business on GenAI testing framework and monitoring process Develop and maintain documentation and reporting for GenAI use case lifecycle management, including validation, monitoring, and issue escalation Bachelor's degree in Mathematics, Finance, Statistics, Computer Science, or a related quantitative field. Advanced degree (e.g., MS) preferred 2+ years of experience in a financial institution, consulting firm, or relevant analytical function Strong understanding of statistical modeling and quantitative analysis. Familiarity in GenAI technologies and use case development. Experience in risk management, ideally including hands-on exposure to GenAI risk assessment, control, or oversight Excellent technical writing and verbal communication skills Strong attention to details, execution and project management skills; ability to influence and coordinate within cross-functional teams Proficiency in MS Excel, PowerPoint, Word, and SharePoint. Programming skills (e.g., Python, R) are a plus Self-starter and strong problem-solving skills We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $58,000 and $115,000 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Requirements

Bachelor's degree in Mathematics, Finance, Statistics, Computer Science, or a related quantitative field.
2+ years of experience in a financial institution, consulting firm, or relevant analytical function
Strong understanding of statistical modeling and quantitative analysis.
Familiarity in GenAI technologies and use case development.
Experience in risk management, ideally including hands-on exposure to GenAI risk assessment, control, or oversight
Excellent technical writing and verbal communication skills
Strong attention to details, execution and project management skills; ability to influence and coordinate within cross-functional teams
Proficiency in MS Excel, PowerPoint, Word, and SharePoint.
Self-starter and strong problem-solving skills

Nice To Haves

Advanced degree (e.g., MS)
Programming skills (e.g., Python, R) are a plus

Responsibilities

Assist in documentation and certification of vendor models.
Work with vendors and business to understand the model's methodology.
Design and execute testing plans in collaboration with vendors, business partners, and the Model Risk Management team.
Analyze test results, identify potential issues and communicate findings to stakeholders
Develop ongoing monitoring plan perform ongoing monitoring for certified models.
Support testing, evaluation and documentation of vendor service GenAI use cases
Address questions and remediate issues identified during model certification and GenAI use case review
Conduct risk assessment on GenAI use cases to ensure compliance with firm policies and regulatory expectations
Provide guidance to business on GenAI testing framework and monitoring process
Develop and maintain documentation and reporting for GenAI use case lifecycle management, including validation, monitoring, and issue escalation